Combing through the fuzz: Using fuzzy hashing and deep learning to counter malware detection evasion techniques

Credit to Author: Eric Avena| Date: Tue, 27 Jul 2021 16:00:17 +0000

A new approach for malware classification combines deep learning with fuzzy hashing. Fuzzy hashes identify similarities among malicious files and a deep learning methodology inspired by natural language processing (NLP) better identifies similarities that actually matter, improving detection quality and scale of deployment.

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